Techvariable

As an Enterprise Sales Consultant with over 5 years of experience, you will play a pivotal role in driving revenue growth through the cultivation and management of relationships with enterprise clients. Your primary focus will be on understanding client requirements and positioning our products as strategic solutions that meet their needs. By employing a consultative selling approach, you will identify and capitalize on opportunities that deliver mutual benefits to our clients and the organization. Your responsibilities will include: - Lead Generation & Prospecting: Utilize research, networking, and targeted outreach to identify and prioritize enterprise-level opportunities. - Consultative Selling: Gain insights into client needs, industry challenges, and business goals to effectively position TechVAriables Products as solutions that address those needs. - Proposal Development: Create compelling presentations, proposals, and product demonstrations customized to meet client specifications. - Relationship Building: Establish and maintain strong relationships with C-suite executives, decision-makers, and stakeholders. - Sales Cycle Management: Oversee end-to-end sales processes, including negotiations, contract finalization, and achieving or surpassing revenue targets. - Collaboration with Internal Teams: Collaborate closely with product, marketing, and technical teams to ensure customer satisfaction and alignment with solutions. - Market Intelligence: Stay abreast of industry trends, competitor activities, and client feedback to drive product enhancements and refine sales strategies. - Performance Reporting: Keep detailed records and provide regular updates on sales activities, pipeline status, and projected revenues to the Reporting Manager. Your profile should include: - Education: BCA/BE/BTech - Technical Skills: Knowledge of sales methodologies such as MEDDPICC can be advantageous in executing your responsibilities effectively. Join us in this dynamic role where your expertise in enterprise sales will be instrumental in driving growth and creating lasting value for both our clients and the company.,

We are seeking a skilled and forward-thinking Lead Software Engineer specializing in Machine Learning with over 10 years of experience to spearhead the conceptualization, development, and implementation of cutting-edge machine learning solutions. This pivotal role necessitates robust leadership qualities, profound technical acumen, and a demonstrated track record in steering teams towards resolving intricate, large-scale challenges utilizing state-of-the-art ML technologies. In this leadership capacity, you will be responsible for mentoring teams, formulating technical roadmaps, and fostering collaboration across various departments to synchronize machine learning endeavors with business objectives. Your responsibilities will include defining and orchestrating the strategy and trajectory for ML systems and applications, as well as architecting and supervising the construction of adaptable machine learning systems and infrastructure. You will drive the creation and execution of sophisticated ML models and algorithms to tackle complex business issues, collaborate with multifaceted teams to discern ML use cases and prerequisites, and provide guidance to junior and mid-level engineers on optimal practices for ML development and deployment. It will also be imperative to oversee the performance enhancement of machine learning systems in operational settings, ensure adherence to industry standards and best practices in model development, data governance, and MLOps, and spearhead research endeavors to explore emerging ML methodologies and seamlessly integrate them into the organization's solutions. The ideal candidate should hold a Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field, with a Ph.D. being an advantageous asset. Additionally, you should possess a minimum of 10 years of software engineering experience, with at least 5 years dedicated to machine learning, and exhibit proficiency in ML frameworks and libraries like TensorFlow, PyTorch, and scikit-learn. A strong grasp of designing and constructing large-scale, distributed ML systems, advanced knowledge of data engineering tools and frameworks such as Spark, Hadoop, or Kafka, hands-on experience with cloud platforms (AWS, GCP, Azure) for ML workloads, and expertise in deploying and managing ML models in production environments using MLOps tools like MLflow or Kubeflow are essential technical skills that you should bring to the table. Moreover, a deep understanding of algorithms, data structures, system design, containerization (Docker), orchestration (Kubernetes), and exceptional problem-solving capabilities are highly valued attributes for this role. Your soft skills should include robust leadership and decision-making prowess, exceptional problem-solving and analytical thinking, excellent communication aptitude to convey technical concepts to diverse audiences, and the ability to cultivate collaboration and drive innovation across teams. Preferred qualifications include a Master's degree in Computer Science, Information Technology, or a related field, familiarity with advanced techniques like generative AI, reinforcement learning, or federated learning, experience in constructing and managing real-time data processing pipelines, knowledge of data security and privacy best practices, and a track record of publications or patents in the domain of machine learning or artificial intelligence. Key Performance Indicators for this role encompass the successful delivery of scalable, high-impact ML solutions in alignment with business objectives, effective mentorship and upskilling of team members, continuous enhancement of ML system performance and reliability, and driving innovation and adoption of emerging ML techniques to sustain a competitive advantage.,

You are an experienced Software Engineer specializing in Machine Learning with at least 2+ years of relevant experience. In this role, you will be responsible for designing, developing, and optimizing machine learning solutions and data systems. Your proven track record in implementing ML models, building scalable systems, and collaborating with cross-functional teams will be essential in solving complex challenges using data-driven approaches. As a Software Engineer - Machine Learning, your primary responsibilities will include designing and implementing end-to-end machine learning solutions, building and optimizing scalable data pipelines, collaborating with data scientists and product teams, monitoring and optimizing deployed models, staying updated with the latest trends in machine learning, debugging complex issues related to ML systems, and documenting processes for knowledge sharing and clarity. To qualify for this role, you should have a Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, or related fields. Your technical skills should include a strong proficiency in Python and machine learning libraries such as TensorFlow, PyTorch, or scikit-learn, experience with data processing tools like Pandas, NumPy, and Spark, proficiency in SQL and database systems, hands-on experience with cloud platforms (AWS, GCP, Azure), familiarity with CI/CD pipelines and Git, and experience with model deployment frameworks like Flask, FastAPI, or Docker. Additionally, you should possess strong analytical skills, leadership abilities to guide junior team members, and a proactive approach to learning and collaboration. Preferred qualifications include experience with MLOps tools like MLflow, Kubeflow, or SageMaker, knowledge of big data technologies such as Hadoop, Spark, or Kafka, familiarity with advanced ML techniques like NLP, computer vision, or reinforcement learning, and experience in designing and managing streaming data workflows. Key Performance Indicators for this role include successfully delivering optimized and scalable ML solutions within deadlines, maintaining high model performance in production environments, and ensuring seamless integration of ML models with business applications. Join us in this exciting opportunity to drive innovation and make a significant impact in the field of Machine Learning.,

Full Time Guwahati Experience - CTC- Best In Industry Job Description We are seeking a talented and experienced Data Engineer / Python Backend Engineer to join our dynamic team. The ideal candidate should have a strong background in Python development, with proficiency in backend frameworks such as FastAPI and Django. Additionally, they should possess solid expertise in data engineering concepts and tools, including Pandas, Numpy and Dataframe API. Experience with data warehousing, data modeling, and scaling techniques is highly desirable. Roles and Responsibilities Design, develop, and maintain backend services and APIs using FastAPI and Django. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Implement data engineering pipelines for processing, transforming, and analyzing large datasets. Optimize data storage and retrieval processes for performance and scalability. Ensure data quality and integrity through rigorous testing and validation procedures. Stay up-to-date with emerging technologies and best practices in data engineering and backend development. Required Skills Bachelor’s degree in computer science, Engineering, or related field. 2+ years of experience in Python development, with a focus on backend frameworks like FastAPI and Django. Expertise in Object Oriented Design, Database Design is must. Proficiency in database technologies such as PostgreSQL and MySQL. Hands-on experience writing SQL queries and knowledge about query performance optimization. Strong understanding of data engineering frameworks, including Pandas, Numpy, and Polars(optional). Familiarity with data warehousing concepts and methodologies. Solid grasp of scaling techniques and optimization strategies for handling large datasets. Nice to Have: Familiarity with Pyspark and Kafka. Experience with containerization tools like Docker. Familiarity with cloud platforms such as AWS or Azure.

You will be a Machine Learning Engineer responsible for assisting in the development and deployment of machine learning models and data systems. This entry-level position offers an opportunity to apply your technical skills to real-world challenges and collaborate within a team environment. Your responsibilities will include: - Assisting in the design, training, and optimization of machine learning models. - Supporting the development of scalable data pipelines for machine learning workflows. - Conducting exploratory data analysis and data preprocessing tasks. - Collaborating with senior engineers and data scientists to implement solutions. - Testing and validating machine learning models for accuracy and efficiency. - Documenting workflows, processes, and key learnings. You should possess: - A Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. - Basic proficiency in Python and familiarity with libraries such as NumPy, Pandas, Scikit-learn, and Tensorflow. - Knowledge of SQL and fundamental machine learning concepts and algorithms. - Exposure to cloud platforms like AWS, GCP, or Azure would be advantageous. Additionally, you should have: - 0-1 years of experience in data engineering or related fields. - Strong analytical skills and the ability to troubleshoot complex issues. - Leadership skills to guide junior team members and contribute to team success. Preferred qualifications include: - A Bachelor's degree in Computer Science, Information Technology, or a related field. - Proficiency in Scikit-learn, Pytorch, and Tensorflow. - Basic understanding of containerization tools like Docker. - Exposure to data visualization tools or frameworks. Your key performance indicators will involve demonstrating progress in applying machine learning concepts and successfully completing tasks within specified timelines.,

We are looking for a highly skilled Software Engineer with a strong expertise in Python and a solid understanding of data engineering principles to join our team. As a Software Engineer, you will be responsible for developing and optimizing scalable applications and data workflows, integrating diverse data sources, and supporting the development of data-driven products. This role requires hands-on experience in software development, data modeling, ETL/ELT pipelines, APIs, and cloud-based data systems. You will collaborate closely with product, data, and engineering teams to build high-quality, maintainable, and efficient solutions that support analytics, machine learning, and business intelligence initiatives. In this role, your responsibilities will include software development tasks such as designing, developing, and maintaining Python-based applications, APIs, and microservices with a strong focus on performance, scalability, and reliability. You will also write clean, modular, and testable code following best software engineering practices, participate in code reviews, debugging, and optimization of existing applications, and integrate third-party APIs and services as required for application features or data ingestion. On the data engineering side, you will be building and optimizing data pipelines (ETL/ELT) for ingesting, transforming, and storing structured and unstructured data. You will work with relational and non-relational databases to ensure efficient query performance and data integrity, collaborate with the analytics and ML teams to ensure data availability, quality, and accessibility for downstream use cases, and implement data modeling, schema design, and version control for data pipelines. Additionally, you will be involved in deploying and managing solutions on cloud platforms (AWS/Azure/GCP) using services such as S3, Lambda, Glue, BigQuery, or Snowflake, implementing CI/CD pipelines, and participating in DevOps practices for automated testing and deployment. You will also monitor and optimize application and data pipeline performance using observability tools. Furthermore, you will work cross-functionally with software engineers, data scientists, analysts, and product managers to understand requirements and translate them into technical solutions. You will provide technical guidance and mentorship to junior developers and data engineers as needed and document architecture, code, and processes to ensure maintainability and knowledge sharing. The ideal candidate should have a Bachelors/Masters degree in Computer Science, Engineering, or a related field, along with 3+ years of experience in Python software development. Strong knowledge of data structures, algorithms, and object-oriented programming is required, as well as hands-on experience in building data pipelines. Proficiency with SQL and database systems, experience with cloud services and containerization, familiarity with message queues/streaming platforms, a strong understanding of APIs, RESTful services, and microservice architectures, and knowledge of CI/CD pipelines, Git, and testing frameworks are also desirable.,

You are a motivated Associate Software Engineer with a solid foundation in computer science principles, including Object-Oriented Programming (OOP), Data Structures and Algorithms (DSA), Database Management Systems (DBMS), and Networking. Your role will involve assisting in the construction and enhancement of data pipelines, integrating APIs, and supporting the development of scalable data systems. In this position, you will be responsible for supporting the development and maintenance of ETL pipelines for data ingestion and transformation. You will also assist in designing and optimizing data models and schemas, as well as perform data validation, cleansing, and preparation to ensure data quality. Additionally, collaborating with team members to integrate APIs and external data sources will be a part of your responsibilities. You should have a Bachelors or Masters degree in Computer Science, Information Technology, or a related field. Moreover, having 0-1 year of experience will be advantageous. Key Performance Indicators include your ability to learn and adapt quickly to the team's codebase and workflows, developing basic ETL pipelines independently within the first 3 months, and demonstrating proficiency in OOP concepts by contributing to modular and reusable code. You should also be able to design efficient data models effectively.,

You will be responsible for assisting in managing daily accounting tasks, maintaining accurate financial records, and ensuring compliance with company policies and regulatory requirements. Your roles and responsibilities will include preparing invoices, recording expenses & bills, reconciling accounts through cloud-based accounting software (ZohoBooks), and maintaining accounts on a timely basis. To excel in this role, you should possess good documentation and bookkeeping skills, excellent knowledge of accounting regulations and procedures (including GAAP), strong spoken and written communication skills, keen attention to detail, good analytical skills, and knowledge of GST, TDS, PF/ESI, PT. Familiarity with ZohoBooks and experience in finance/tax audit would be advantageous. If you have at least 1 year of experience in a similar role and are detail-oriented and motivated, we encourage you to apply for this Accounts Associate position in our finance team.,