Job Summary: We are seeking an experienced and highly motivated LLM Engineer with 5+ years of experience in AI/ML, NLP, and deep learning. The ideal candidate will have hands-on expertise in working with large language models (LLMs) such as GPT, LLaMA, Mistral, Claude, or similar, and a strong understanding of model ne-tuning, prompt engineering, evaluation, and deployment. Key Responsibilities: ¢ ¢ ¢ Design, develop, ne-tune, and deploy large language models for specic use cases. Build and optimize prompt strategies for various downstream tasks (e.g., summarization, Q&A, classication). Work on retrieval-augmented generation (RAG) pipelines and integrate LLMs with vector databases like FAISS, Pinecone, or Weaviate. Evaluate LLM performance using metrics such as BLEU, ROUGE, perplexity, and human-in-the-loop feedback. Collaborate with data scientists, ML engineers, and product teams to deliver scalable AI-powered solutions. ¢ ¢ Optimize model performance for latency, throughput, and accuracy. Stay updated with the latest research and advancements in LLMs and generative AI. Required Skills: ¢ Strong programming skills in Python and familiarity with libraries like Hugging Face Transformers, LangChain, or LlamaIndex. ¢ ¢ ¢ ¢ Deep understanding of NLP techniques and transformer-based architectures. Experience with ne-tuning, LoRA, PEFT, or quantization of LLMs. Knowledge of vector databases and embedding techniques. Familiarity with ML Ops tools (MLow, Weights & Biases) and deployment frameworks (FastAPI, Docker, Kubernetes). ¢ ¢ Experience with cloud platforms (AWS, GCP, or Azure) for training and deploying models. Good grasp of data preprocessing, annotation, and model evaluation techniques.
Senior Python Developer - Job Descripon Posion Summary We are looking for a Senior Python Developer with 5-6 years of hands-on experience to design, develop, and maintain robust Python applicaons. The ideal candidate will have strong exper¢se in Python frameworks, database management, and modern development prac¢ces. Key Responsibili¢es Development & Technical Leadership Design, develop, and maintain scalable Python applica¢ons using frameworks like Django, Flask, or FastAPI Write clean, maintainable, and well-documented code following best prac¢ces Implement RESTful APIs and microservices architecture Op¢mize applica¢on performance and ensure scalability Conduct code reviews and provide technical guidance to junior developers Database & Integra¢on Design and op¢mize database schemas (PostgreSQL, MySQL, MongoDB) Implement ecient database queries and manage data migra¢ons Integrate third-party APIs and services Work with cloud pla¢orms (AWS, Azure, or Google Cloud) Collabora¢on & Mentorship Collaborate with cross-func¢onal teams Par¢cipate in agile development processes and sprint planning Mentor junior developers and contribute to team knowledge sharing Troubleshoot and resolve complex technical issues Required Qualica¢ons Technical Skills 5-6 years of professional Python development experience Strong exper¢se in Python frameworks (Django, Flask, FastAPI) Prociency in database technologies (PostgreSQL, MySQL, MongoDB) Experience with RESTful API development and integra¢on Knowledge of version control systems (Git) Understanding of so¢ware design pa¢erns and principles Experience with tes¢ng frameworks (pytest, uni¢est) Addi¢onal Technical Requirements Experience with cloud pla¢orms (AWS, Azure, or GCP) Knowledge of containeriza¢on (Docker, Kubernetes) Familiarity with CI/CD pipelines Understanding of caching mechanisms (Redis, Memcached) Experience with message queues (Celery, RabbitMQ, Apache Ka¢a) Knowledge of web technologies (HTML, CSS, JavaScript) So¢ Skills Strong problem-solving and analy¢cal thinking abili¢es Excellent communica¢on and collabora¢on skills Ability to work independently and manage mul¢ple projects Mentoring and leadership capabili¢es Adaptability to new technologies and frameworks Preferred Qualica¢ons Bachelor's or masters degree in computer science, Engineering, or related eld Experience with machine learning libraries (NumPy, Pandas, Scikit-learn) Knowledge of frontend frameworks (React, Vue.js, Angular) Experience with DevOps prac¢ces and tools Contribu¢ons to open-source projects Understanding of security best prac¢ces Loca¢on Chennai Employment Type Full-me, Permanent
Title: Key Account Manager Location: Remote Experience: 8-12 Years Notice Period: Immediate 1 Month Job Description: Account & Portfolio Ownership: Managed accounts/portfolios with a revenue size exceeding $3M. Customer Relationship Management: Built and maintained strong relationships across all customer levels—from SVPs to line managers. Revenue Achievement: Consistently met or exceeded quarterly revenue targets while maintaining a strong pipeline for upcoming quarters. Account Mining & Expansion: Applied multi-fold strategies to expand account footprint and drive revenue growth. Account Planning: Developed comprehensive account plans and implemented effective revenue growth strategies. Pipeline Management: Proven track record in pipeline generation with a high conversion ratio to contracts. Cross-Functional Coordination: Collaborated with Delivery, Recruitment, and Finance teams to ensure revenue generation and customer satisfaction. Technical Engagement: Provided insights and engaged customers on technology stacks including AI, Data, Cloud, and ADMS. P&L & Contract Management: Owned P&L and managed contracts for assigned portfolios and regions. CRM Expertise: Hands-on experience with CRM tools like Salesforce, including preparation and presentation of reports to leadership.
Job Title: Looker BI Developer Location: Remote Experience: 6-8 Years (min 3+ years in Looker) Notice Period: Immediate joiners Only The Opportunity We are looking for a dedicated and technically proficient Senior Business Intelligence Analyst / Looker & BigQuery Specialist who can bridge the gap between complex data and actionable business insights. This role is crucial for our data-driven transformation , requiring someone who can not only build and maintain robust data models and dashboards but also deeply understand our QSR (Quick Service Restaurant) operations, data schemas, business logic, and workflows . Key Responsibilities 1. Data Understanding & Strategy Develop a deep understanding of existing data schemas across operational systems (POS, inventory, loyalty, delivery platforms, etc.) in the QSR environment. Understand various business verticals (Operations, Marketing, Finance, Product Development) to apply corresponding business logic, KPIs, and workflows. Translate complex business questions into technical specifications for data modeling and reporting. Proactively identify opportunities for data-driven insights to optimize processes, improve customer experience, and increase profitability. 2. Looker Development & Administration (Primary Skillset) Design, develop, and maintain high-impact interactive dashboards and reports in Looker. Develop and maintain LookML models (views, explores, dimensions, measures, derived tables). Implement advanced Looker features (custom visualizations, liquid variables, drill-downs, embedded analytics). Manage Looker instances, including user access, permissions, and performance tuning . Ensure data governance and security best practices within Looker. 3. Google BigQuery Expertise (Secondary Skillset) Write, optimize, and maintain complex SQL queries in BigQuery for ETL/ELT processes. Design and manage scalable data models in BigQuery ensuring accuracy and performance. Apply best practices (partitioning, clustering, cost optimization) to improve efficiency. Troubleshoot and resolve data-related issues to ensure data quality and consistency . 4. Collaboration & Communication Work closely with data engineering teams to ensure data availability and pipeline reliability. Provide training and documentation to business users for self-service analytics . Communicate analytical findings and technical concepts in a clear, business-friendly manner . Participate in cross-functional teams contributing to the overall data strategy . Required Skills & Qualifications 3+ years of experience in Business Intelligence, Data Analytics, or similar roles . Proven expertise in Google BigQuery (complex SQL, optimization, data modeling). Expert-level proficiency in Looker and LookML development . Strong ability to translate business processes into data solutions . Excellent analytical, problem-solving, and detail-orientation skills. Strong communication and collaboration skills with both technical and non-technical teams. Experience in fast-paced industries such as QSR, retail, or hospitality. Familiarity with data governance and quality best practices . Preferred Skills & Qualifications Experience with Google Cloud Platform (GCP) services (Cloud Storage, Cloud Functions, Dataflow). Knowledge of version control (Git) . Exposure to Python for automation and data manipulation. Experience with agile development methodologies .
Job Summary We are seeking a detail-oriented and skilled Proposal Writer to support our business development efforts in the government sector. This role requires strong writing abilities, attention to detail, and a deep understanding of industry-specific requirements. The ideal candidate will be responsible for researching, developing, and refining high-quality proposals that effectively communicate the value of our solutions to potential clients. Key Responsibilities Research & Analysis Conduct research to gather insights on potential government clients, their needs, and competitive dynamics. Analyze request for proposals (RFPs), requests for information (RFIs), and bid documents to determine client requirements. Proposal Development Write clear, concise, and compelling proposals that highlight the organizations strengths and address client needs. Collaborate with subject matter experts, sales teams, and stakeholders to compile relevant information. Develop and maintain a repository of proposal content, including case studies and boilerplate materials. Editing & Proofreading Ensure proposals meet high standards of accuracy, consistency, and adherence to style guidelines. Work closely with team members to align proposals with brand messaging and organizational objectives. Coordination & Communication Manage proposal timelines to ensure timely submission. Liaise with internal technical and non-technical teams to gather necessary information. Quality Assurance Perform detailed quality checks to ensure compliance with client specifications and error-free submissions. Incorporate feedback from senior proposal writers or department heads to improve future submissions. Qualifications & Skills Education Bachelor’s degree in English, Communications, Business, or a related field. Core Competencies Exceptional writing skills, with the ability to convey complex concepts in a clear and engaging manner. Strong command of grammar, punctuation, and proofreading techniques. Excellent research and analytical abilities to support proposal development. Effective collaboration and teamwork skills for cross-functional engagement. Ability to manage multiple projects and meet tight deadlines. Attention to detail and commitment to delivering high-quality content. Adaptability in a fast-paced, deadline-driven environment. Technical Proficiency Experience with proposal management tools (preferred but not mandatory). Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint). Career Growth This role serves as an entry point into the field of proposal writing. With experience, individuals can progress into senior proposal development, business development, or strategic leadership roles within the organization.
Job Descripon Senior Data Lead Posion Senior Data Lead Loca¢on [Insert Loca¢on / Remote / Hybrid] About the Role We are looking for a Senior Data Lead to work closely with our Data Architect and play a key role in execu¢ng the data strategy, building pipelines, and leading delivery of cri¢cal data projects. This is a hands-on technical leadership role youll design, code, review, and mentor engineers, while ensuring the data pla¢orm is reliable, governed, and future-ready. You will be the bridge between architecture and engineering execu¢on, transla¢ng architectural blueprints into scalable, produc¢on-grade solu¢ons. Key Responsibili¢es Pla¢orm & Pipeline Development ¢ ¢ ¢ ¢ Design and build scalable ETL/ELT pipelines for batch, near real-¢me, and streaming data. Implement data orchestra¢on workows (Airow, Dagster, Prefect, ADF). Op¢mize distributed data processing (Spark, Databricks, Flink, Ka¢a). Ensure data sharding, par¢¢oning, and performance op¢miza¢on in large-scale environments. ¢ Deploy and maintain data APIs, integra¢on services, and microservices. Governance & Quality ¢ ¢ ¢ Implement and enforce data quality checks, valida¢on rules, and observability frameworks. Maintain metadata, lineage, and documenta¢on to support governance. Partner with the architect to implement security, access control, and compliance requirements. Analy¢cs & AI/ML Enablement ¢ ¢ ¢ Enable BI/analy¢cs teams by building trusted datasets, marts, and seman¢c layers. Support data scien¢sts in deploying and opera¢onalizing predic¢ve models. Contribute to feature engineering pipelines and ML workows. Leadership & Delivery Lead a team of data engineers/analysts, providing technical mentorship and code reviews. ¢ ¢ ¢ ¢ Ensure projects are delivered on ¢me, with high quality, and aligned to architectural guidelines. Collaborate with product, engineering, and business stakeholders to translate requirements into solu¢ons. Champion Agile/DataOps/MLOps prac¢ces across the data team. Required Skills & Experience ¢ ¢ 812 years in data engineering, with at least 3+ years in a lead/technical lead role. Strong exper¢se in Python/Scala/Java, SQL, and distributed compu¢ng (Spark, Databricks, Flink, Ka¢a). ¢ Proven experience with cloud data pla¢orms (AWS, Azure, GCP) and warehouses (Snowake, BigQuery, Redshi¢, Synapse). ¢ ¢ Hands-on with orchestra¢on tools (Airow, ADF, Prefect, Dagster). Experience with CI/CD pipelines, containers (Docker/Kubernetes), IaC (Terraform, CloudForma¢on). ¢ ¢ Solid knowledge of data governance prac¢ces, data catalogs, and observability. Strong problem-solving and debugging skills; able to op¢mize pipelines for performance and cost. ¢ Excellent communica¢on skills and ability to mentor junior engineers. Preferred Qualica¢ons ¢ ¢ ¢ ¢ Exposure to predic¢ve modelling, ML pipelines, and MLOps. Experience with streaming/real-¢me architectures (Ka¢a, Kinesis, Pub/Sub). Familiarity with data governance tools (Collibra, Ala¢on, Purview). Cer¢¢ca¢ons in cloud data engineering (AWS, Azure, GCP). What We Oer ¢ Opportunity to work side-by-side with the Data Architect to shape the companys data pla¢orm. ¢ ¢ ¢ A highly technical, hands-on role with freedom to innovate. Growth path into Architect/Head of Data Engineering roles. Work with modern data stack, cu¢ng-edge tools, and challenging big-data problems.
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