Working Days - 6 Days (Mon - sat) Year of Experience - 3+ Years Skills : NodeJS + MonoDB Should have at least 3+ years of experience in Backend Web Dev. Should be familiar with python and have prior experience in it Should have solid understanding of NodeJS, MongoDB, Redis, Kafka/RabbitMQ/SQS Should have good understanding of event-driven architecture Should be open to learn new framework if required. Ex: FastAPI Should be familiar with Dockerisation Should be familiar with AWS/GCP and deployment of services. Job Types: Full-time, Contractual / Temporary Contract length: 6-12 months Pay: Up to ₹80,000.00 per month Schedule: Day shift Fixed shift Work Location: In person
We are looking for experienced and passionate IT Trainers in Java DSA , Java Full Stack Development , and AI/ML to lead a 100-day intensive, full-time training program for freshers at our client campus in Hyderabad. Key Details: Training Start Date: 9th June 2025Location: On-site at client campus, Hyderabad (mandatory presence) Timing: 9:00 AM – 4:00 PM (6 hours/day), Monday to Saturday Audience: ~2500 learners divided into batches Duration: 100 Days (Approx. 4.5 months) Roles & Responsibilities: Deliver engaging, hands-on training sessions in your expertise area (Java DSA / Java Full Stack / AI/ML) Follow structured curriculum and manage large batches with discipline Conduct periodic assessments, coding tasks, and provide feedback Maintain attendance and learner progress records Collaborate with other trainers for curriculum alignment and delivery consistency Required Skills & Qualifications: Minimum 2–4 years of experience in training or software development Strong command over Java DSA, Java Full Stack, or AI/ML (depending on the role) Prior experience training large batches (preferred) Excellent communication and classroom management skills Ability to motivate and mentor fresh graduates Job Types: Full-time, Contractual / Temporary Contract length: 4.5 months Pay: ₹60,000.00 - ₹100,000.00 per month Schedule: Day shift Fixed shift Language: English (Preferred) Work Location: In person Application Deadline: 09/06/2025
We are looking for experienced and passionate IT Trainers in Java DSA , Java Full Stack Development , and AI/ML to lead a 100-day intensive, full-time training program for freshers at our client campus in Hyderabad. Key Details: Training Start Date: 9th June 2025Location: On-site at client campus, Hyderabad (mandatory presence) Timing: 9:00 AM – 4:00 PM (6 hours/day), Monday to Saturday Audience: ~2500 learners divided into batches Duration: 100 Days (Approx. 4.5 months) Roles & Responsibilities: Deliver engaging, hands-on training sessions in your expertise area (Java DSA / Java Full Stack / AI/ML) Follow structured curriculum and manage large batches with discipline Conduct periodic assessments, coding tasks, and provide feedback Maintain attendance and learner progress records Collaborate with other trainers for curriculum alignment and delivery consistency Required Skills & Qualifications: Minimum 2–4 years of experience in training or software development Strong command over Java DSA, Java Full Stack, or AI/ML (depending on the role) Prior experience training large batches (preferred) Excellent communication and classroom management skills Ability to motivate and mentor fresh graduates Job Types: Full-time, Contractual / Temporary Contract length: 4.5 months Pay: ₹60,000.00 - ₹100,000.00 per month Schedule: Day shift Fixed shift Language: English (Preferred) Work Location: In person Application Deadline: 09/06/2025
Machine Learning- Data Scientist - Years of experience: 7 to 13 years Location : Pune Budget: 1.3 -1.6 LPM Contract - 8 Months Availability - Immediate to 15 days Please find the details below for a contractual position. Python, ML, NLP (LDA, embeddings, RAG), AI techniques, LLM-based matching (e.g., GPT/embeddings), time series forecasting Django is essential Experience with Databricks, Azure ML Stack, OpenAI API, Spark, and fuzzy matching would be a plus. Builds and deploys ML pipelines (incl. MLOps, API endpoints, CI/CD) Works with Langchain, Azure Synapse, Kubernetes, and modern ML frameworks Job Types: Full-time, Contractual / Temporary Contract length: 8-12 months Pay: Up to ₹160,000.00 per month Work Location: In person
Role: Sr Data Scientist – Digital & Analytics Experience: 7+ Years | Industry: Exposure to manufacturing, energy, supply chain or similar Location: On-Site @ Bharuch, Gujarat (6 days/week, Mon-Sat working) Perks: Work with Client Directly & Monthly renumeration for lodging Mandatory Skills: Exp. In full scale implementation from requirement gathering till project delivery (end to end). EDA, ML Techniques (supervised and unsupervised), Python (Pandas, Scikit-learn, Pyomo, XGBoost, etc.), cloud ML tooling (Azure ML, AWS Sage maker, etc.), plant control systems (DCS, SCADA, OPC UA), historian databases (PI, Aspen IP.21), and time-series data, optimization models (LP, MILP, MINLP). We are seeking a highly capable and hands-on Sr Data Scientist to drive data science solution development for chemicals manufacturing environment. This role is ideal for someone with a strong product mindset and a proven ability to work independently, while mentoring a small team. You will play a pivotal role in developing advanced analytics and AI/ML solutions for operations, production, quality, energy optimization, and asset performance, delivering tangible business impact. Responsibilities: 1. Data Science Solution Development • Design and develop predictive and prescriptive models for manufacturing challenges such as process optimization, yield prediction, quality forecasting, downtime prevention, and energy usage minimization. • Perform robust exploratory data analysis (EDA) and apply advanced statistical and machine learning techniques (supervised and unsupervised). • Translate physical and chemical process knowledge into mathematical features or constraints in models. • Deploy models into production environments (on-prem or cloud) with high robustness and monitoring. 2. Team Leadership & Management • Lead a compact data science pod (2-3 members), assigning responsibilities, reviewing work, and mentoring junior data scientists or interns. • Own the entire data science lifecycle: problem framing, model development, and validation, deployment, monitoring, and retraining protocols. 3. Stakeholder Engagement & Collaboration • Work directly with Process Engineers, Plant Operators, DCS system owners, and Business Heads to identify pain points and convert them into use-cases. • Collaborate with Data Engineers and IT to ensure data pipelines and model interfaces are robust, secure, and scalable. • Act as a translator between manufacturing business units and technical teams to ensure alignment and impact. 4. Solution Ownership & Documentation • Independently manage and maintain use-cases through versioned model management, robust documentation, and logging. • Define and monitor model KPIs (e.g., drift, accuracy, business impact) post-deployment and lead remediation efforts. Required Skills: 1. 7+ years of experience in Data Science roles, with a strong portfolio of deployed use-cases in manufacturing, energy, or process industries. 2. Proven track record of end-to-end model delivery (from data prep to business value realization). 3. Master’s or PhD in Data Science, Computer Science Engineering, Applied Mathematics, Chemical Engineering, Mechanical Engineering, or a related quantitative discipline. 4. Expertise in Python (Pandas, Scikit-learn, Pyomo, XGBoost, etc.), and experience with cloud ML tooling (Azure ML, AWS Sagemaker, etc.). 5. Familiarity with plant control systems (DCS, SCADA, OPC UA), historian databases (PI, Aspen IP.21), and time-series data. 6. Experience in developing optimization models (LP, MILP, MINLP) for process or resource allocation problems is a strong plus. Job Types: Full-time, Contractual / Temporary Contract length: 6-12 months Pay: Up to ₹200,000.00 per month Work Location: In person
Role: Sr Data Scientist – Digital & Analytics Experience: 7+ Years | Industry: Exposure to manufacturing, energy, supply chain or similar Location: On-Site @ Bharuch, Gujarat (6 days/week, Mon-Sat working) Perks: Work with Client Directly & Monthly renumeration for lodging Mandatory Skills: Exp. In full scale implementation from requirement gathering till project delivery (end to end). EDA, ML Techniques (supervised and unsupervised), Python (Pandas, Scikit-learn, Pyomo, XGBoost, etc.), cloud ML tooling (Azure ML, AWS Sage maker, etc.), plant control systems (DCS, SCADA, OPC UA), historian databases (PI, Aspen IP.21), and time-series data, optimization models (LP, MILP, MINLP). We are seeking a highly capable and hands-on Sr Data Scientist to drive data science solution development for chemicals manufacturing environment. This role is ideal for someone with a strong product mindset and a proven ability to work independently, while mentoring a small team. You will play a pivotal role in developing advanced analytics and AI/ML solutions for operations, production, quality, energy optimization, and asset performance, delivering tangible business impact. Responsibilities: 1. Data Science Solution Development • Design and develop predictive and prescriptive models for manufacturing challenges such as process optimization, yield prediction, quality forecasting, downtime prevention, and energy usage minimization. • Perform robust exploratory data analysis (EDA) and apply advanced statistical and machine learning techniques (supervised and unsupervised). • Translate physical and chemical process knowledge into mathematical features or constraints in models. • Deploy models into production environments (on-prem or cloud) with high robustness and monitoring. 2. Team Leadership & Management • Lead a compact data science pod (2-3 members), assigning responsibilities, reviewing work, and mentoring junior data scientists or interns. • Own the entire data science lifecycle: problem framing, model development, and validation, deployment, monitoring, and retraining protocols. 3. Stakeholder Engagement & Collaboration • Work directly with Process Engineers, Plant Operators, DCS system owners, and Business Heads to identify pain points and convert them into use-cases. • Collaborate with Data Engineers and IT to ensure data pipelines and model interfaces are robust, secure, and scalable. • Act as a translator between manufacturing business units and technical teams to ensure alignment and impact. 4. Solution Ownership & Documentation • Independently manage and maintain use-cases through versioned model management, robust documentation, and logging. • Define and monitor model KPIs (e.g., drift, accuracy, business impact) post-deployment and lead remediation efforts. Required Skills: 1. 7+ years of experience in Data Science roles, with a strong portfolio of deployed use-cases in manufacturing, energy, or process industries. 2. Proven track record of end-to-end model delivery (from data prep to business value realization). 3. Master’s or PhD in Data Science, Computer Science Engineering, Applied Mathematics, Chemical Engineering, Mechanical Engineering, or a related quantitative discipline. 4. Expertise in Python (Pandas, Scikit-learn, Pyomo, XGBoost, etc.), and experience with cloud ML tooling (Azure ML, AWS Sagemaker, etc.). 5. Familiarity with plant control systems (DCS, SCADA, OPC UA), historian databases (PI, Aspen IP.21), and time-series data. 6. Experience in developing optimization models (LP, MILP, MINLP) for process or resource allocation problems is a strong plus. Job Types: Full-time, Contractual / Temporary Contract length: 6-12 months Pay: Up to ₹200,000.00 per month Work Location: In person
Experience : 4+ Years Location : Remote OR Hybrid from Bangalore 3 days/week Budget Remote-1LPM Hybrid-1.2LPM Mandatory Skills: LLM, Redis Vector Database, Azure OpenAI, Python, Fast API, Docker, Kubernetes, RAG, Agents, Graphs, Fine tuning of LLMs, AI/ML framework, ML flow, Gen-AI In the role of a Data Scientist (ML), you will operate at the intersection of: LLM-based frameworks, tools, and technologies, Cloud-native technologies and solutions, Microservices-based software architecture and design patterns, Domain specific fine tuning/Prompting of use cases, Working knowledge of structured and unstructured retrieval-based architectures. As an additional responsibility, you will be involved in the complete development cycle of new product features, encompassing tasks such as the development and deployment of new models integrated into production systems. Furthermore, you will have the opportunity to critically assess and influence the product engineering, design, architecture, and technology stack across multiple products, extending beyond your immediate focus. Responsibilities 1. Design, develop, and implement innovative Language Model applications using Azure OpenAI and Redis as a vector database. 2. Collaborate with cross-functional teams to integrate LangChain, OpenAI Python SDK, LammaIndex, OLamma, and other technologies into the application architecture. 3. Implement and optimize machine learning models for natural language processing tasks. 4. Ensure the scalability, performance, and reliability of language model applications. 5. Collaborate with data scientists, software engineers, and other stakeholders to enhance and refine language models based on user feedback and evolving requirements. 6. Stay current with industry trends and advancements in language models, AI, and related technologies. 7. Working knowledge of Fast API, Celery and Docker Requirements 1. Bachelor’s or master’s degree in engineering, or related field with 1-3 years of work experience. 2. Proven experience in developing and deploying applications utilizing Azure OpenAI and Redis as a vector database. 3. Solid understanding of language model technologies, including LangChain, OpenAI Python SDK, OLamma, etc. 4. Proficiency in implementing and optimizing machine learning models for natural language processing. 5. Experience with observability tools such as mlflow, langsmith, langfuse, weight and bias, etc. 6. Conceptual understanding of working principle of LLMs and fine tuning of LLMs. 7. Proven application of RAG, Agents, Graphs to orchestrate production grade LLM applications. 8. Strong programming skills in languages such as Python and proficiency in relevant frameworks. 9. Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). 10. Excellent problem-solving and communication skills. 11. Industry experience in Marketing is a good to have. Job Types: Full-time, Contractual / Temporary Contract length: 12 months Pay: Up to ₹120,000.00 per month Work Location: In person