122 AI And Ml Engineer jobs in Bhopal

NLP Data Science Intern

Did you notice a shortage of food at supermarkets during covid? Have you heard about the recent issues in the global shipping industry? or perhaps you’ve heard about the shortages of microchips? These problems are called supply chain disruptions. They have been increasing in frequency and severity. Supply chain disruptions are threatening our very way of life.

Our vision is to advance society’s capacity to withstand shocks and stresses. Kavida.ai believes the only way to ensure security is through supply chain resiliency. We are on a mission to help companies proactively manage disruption supply chain disruption risks using integrated data.

Our Story

In March 2020 over 35 academics, data scientists, students, and software engineering volunteers came together to address the food shortage issues caused by the pandemic - Covid19foodsupply.com. A core team of 9 was formed and spun off into a startup and the rest is history.

Our investors include one of the world's largest supply chain quality & compliance monitoring companies, a £1.25bn apparel manufacturer, and some very impressive angel investors.

Social Impact:

Social impact is in our DNA. We believe private sector innovation is the only way to address social problems at scale. If we achieve our mission, humanity will always have access to its essential goods for sustenance. No more shortages of food, PPE, medicine, etc.

Our Culture :

Idea Meritocracy:

The best ideas win. We only care about what is right, not who is right. We know arriving at the best answer requires constructive tension. Sometimes it can get heated but it's never personal. Everyone contributes to better ideas knowing they will be heard but also challenged.

Drivers Not Passengers:

We think as owners who drive the bus, not as passengers. We are self-starters and never wait for instructions. We are hungry for autonomy, trust, and responsibility. Everyone is a leader because we know leadership is a trait, not a title. Leaders drive growth and navigate the chaos.

We Figure Out The Answers:

We trust our ability to figure stuff out. We do not need all the information to start answering the question. We can connect the dots and answer difficult questions with logic.

Customer & Mission Obsessed:

Our customers are our heroes and we are obsessed with helping them. We are obsessed with; understanding their supply chains better, resolving their biggest headaches, and advancing their competitiveness.

Learning and growth

We all take personal responsibility for becoming smarter, wiser, more skilled, happier. We are obsessed with learning about our industry and improving our own skills. We are obsessed with our personal growth; to become more.

Job Description:

As a member of our Research team, you will be responsible for researching, developing, and coding Agents using state-of-the-art LLM's with automated pipelines.

• Write code for the development of our ML engines and micro-services pipelines.
• use, optimize, train, and evaluate state-of-the-art GPT models.
• research and Develop Agentic pipelines using LLM's.
• research and develop RAG based pipeline using vector DB's .

Essential Requirements:

• prompt engineering and Agentic LLm frameworks like langchain/llama index
• good enough undersanding of vectors/tensors and RAG pipelines
• Knowledge of building NLP systems using transfer learning or building custom NLP systems from scratch using TensorFlow or PyTorch.
• In-depth knowledge of DSA, async, python, and containers.
• Knowledge of transformers and NLP techniques is essential, and deployment experience is a significant advantage.

Salary Range: ₹15000 - ₹25000

We are offering a full-time internship position to final-year students. The internship will last for an initial period of 6-12 months before converting to a full-time job, depending on suitability for both parties. If the applicant is a student who needs to return to university, they can continue with the program on a part-time basis.

• Assist in data collection, cleaning, and transformation tasks.
• Support the development and implementation of data models.
• Conduct exploratory data analysis and generate visualizations.
• Help in building and evaluating machine learning models.
• Document code, processes, and findings clearly.
• Collaborate with senior data scientists on project tasks.
• Learn and apply various data science tools and technologies.
• Participate in training sessions and workshops.
• Contribute to team meetings and discussions.
• Assist in preparing reports and presentations of analytical results.

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• Strong academic record.
• Basic understanding of programming (e.g., Python, R) and statistical concepts.
• Excellent analytical and problem-solving skills.
• Eagerness to learn and adapt in a fast-paced environment.
• Good communication and teamwork abilities.

Job title: Data Science Intern- Remote

Report to: Data Science Manager in Pune

Job Responsibilities

• Solve Time series 1D (continuous glucose monitoring), RNA sequencing, and Computer vision (mainly medical images) problems
• Solve challenging problems using scalable 1D signal processing, machine learning, and deep learning approaches.
• In charge of developing state-of-the-art machine learning/deep learning algorithms for medical datasets
• Communicate highly technical results and methods concisely and clearly
• Collaborate with researchers in Japan to understand requirement as well request data.

Requirement

• Master/Ph.D. in relevant field from tier-1 colleges
• 1~2 years of experience with programming language/s Python or C++, Pandas
• 1~2 years of experience of working with deep learning framework, i.e. Pytorch or Tensorflow
• Well acquainted with classical time series problems-algorithms, NLP, Computer vision etc.
• Demonstrated experience with machine learning/deep learning models.
• Candidates should be able to read and implement research papers from top conferences.
• Develop IP (patents) and publish papers.
• Proficiency in Windows, Linux, dockers, PPT, and Git commands are highly required.

Preferred Skills

• Experience working with time-series, text, and sequential datasets in real world settings.
• Proven track record of research or industry experience on Time series problems, NLP, tabular datasets.
• Well acquainted with machine learning libraries such as pandas, scikit-learn etc.
• Experience programming in Azure or GCP or other cloud service.
• Publications in top-tier conferences will be a plus.

Location

This is a remote internship. If your performance is strong, we will consider converting your role to a full-time position after six months.

Package (CTC) 6.0 to 12.0 LPA (Negotiable)

Role Title: AI, Data Science & Generative AI Trainer

Location: Bhopal

Employment Type: Full-Time

About Us:

We are a leading edtech (Eict IIT Guwahati Partner) providing career-focused programs in cutting-edge technologies. We are looking for a passionate AI, Data Science & Generative AI Trainer who can teach, mentor, and prepare students for real-world projects and careers in Data Science, Machine Learning, Artificial Intelligence, and Generative AI.

Key Responsibilities:

• Deliver classroom/online training on Python, Data Science, Machine Learning, Deep Learning, Generative AI, and related tools.
• Teach and demonstrate Generative AI applications (ChatGPT, LLMs, Prompt Engineering, Image/Video Generation, etc.).
• Design, update, and maintain training materials, case studies, and hands-on projects.
• Mentor students on assignments, capstone projects, and AI-powered industry use cases.
• Prepare students for interviews and technical assessments in Data Science & AI roles.
• Stay updated with the latest trends in AI, GenAI, and Data Science and integrate them into teaching.
• Conduct coding practice, doubt-clearing sessions, and technical assessments.

Requirements:

• Bachelor's/Master's in Computer Science, Data Science, AI, Statistics, or related field.
• Strong proficiency in Python, Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, SQL, Power BI/Tableau.
• Practical experience in Machine Learning, Deep Learning, NLP, and Generative AI (LLMs, ChatGPT, Stable Diffusion, etc.).
• Familiarity with Prompt Engineering, API integrations, and AI model fine-tuning.
• 2–6 years of teaching/training/industry experience in Data Science & AI.
• Excellent communication & mentoring skills.

Good to Have:

• Hands-on with cloud platforms (AWS, Azure, GCP) AI/ML services.
• Exposure to Big Data tools (Hadoop/Spark).
• Corporate training or academic teaching experience.

Perks & Benefits:

• Competitive salary + performance incentives.
• Opportunity to work on real-world AI & GenAI projects.
• Growth into academic leadership, curriculum design, or research roles.

Job Types: Full-time, Permanent

Pay: ₹50, ₹100,000.00 per month

Benefits:

• Cell phone reimbursement
• Health insurance
• Provident Fund

Work Location: In person

• Intensive training in data analysis, statistical modeling, machine learning, and data visualization techniques.
• Hands-on experience with data manipulation tools and programming languages such as Python (Pandas, NumPy, Scikit-learn) and SQL.
• Exposure to various business domains and the application of data science to solve complex problems.
• Participation in team projects, contributing to data-driven solutions under expert guidance.
• Development of essential soft skills, including communication, problem-solving, and teamwork.
• Mentorship from senior data professionals who will provide career guidance and technical support.
• Opportunity to work on diverse datasets and contribute to impactful business initiatives.
• Learning to present findings clearly and concisely to technical and non-technical audiences.
• Familiarization with data governance, ethics, and best practices.
• Potential for full-time employment upon successful completion of the traineeship.

• Assist in data collection, cleaning, and preprocessing.
• Perform exploratory data analysis and identify key trends.
• Develop and implement statistical models and machine learning algorithms.
• Create data visualizations and reports to communicate findings.
• Support the development of predictive models.
• Collaborate with team members on data-related projects.
• Document methodologies, code, and results.
• Learn and apply new data science techniques and tools.
• Assist in the evaluation and validation of models.
• Contribute to data-driven decision-making processes.

• Recent graduate with a Bachelor's or Master's degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Economics).
• Strong understanding of statistical concepts and machine learning principles.
• Proficiency in programming languages such as Python or R.
• Familiarity with data analysis libraries and tools (e.g., Pandas, NumPy, Scikit-learn).
• Basic knowledge of SQL for data extraction is a plus.
• Excellent analytical and problem-solving abilities.
• Good communication and interpersonal skills.
• Eagerness to learn and adapt to new technologies.
• Ability to work effectively in a remote team environment.

Job Description: Data Science Lead, Clinical Intelligence

Company Overview

Anervea is a pioneering AI transformation tech company delivering AI-powered SaaS solutions for the US pharma industry. Our therapy-agnostic clinical intelligence platform leverages real-world evidence (RWE) to predict patient outcomes and personalize treatments, empowering clients to optimize clinical trials and accelerate drug development.

Job Title

Data Science Lead, Clinical Intelligence

Location

Pune, India (hybrid office/remote) or fully remote within India.

Job Summary

We are seeking an experienced Data Science Lead to spearhead data operations for our clinical intelligence SaaS platform. You will lead data pipeline development, integrate computational biology insights, and ensure compliance with US pharma regulations, driving AI-powered predictions for patient outcomes across therapies (e.g., oncology, diabetes). This role is perfect for a leader with expertise in computational biology, clinical research, and scalable data systems.

Key Responsibilities

• Build and manage end-to-end data pipelines for ingesting and analyzing de-identified RWE, preclinical data, and public datasets (e.g., TCGA, ChEMBL) using Python, pandas, and cloud tools.
• Ensure data quality, privacy, and compliance with HIPAA, FDA (21 CFR Part 11), and GDPR, focusing on de-identification and bias mitigation.
• Lead integration of computational biology (e.g., genomics, AlphaFold protein modeling) into AI models for therapy-agnostic outcome predictions.
• Collaborate with AI teams to develop predictive models (e.g., XGBoost, PyTorch) for clinical trials and personalized medicine.
• Optimize data operations for scalability and cost-efficiency, handling large, diverse health datasets.
• Oversee cross-functional teams (remote/hybrid) to troubleshoot issues, audit data, and deliver client-ready insights.
• Stay ahead of US pharma trends (e.g., RWE, precision medicine) to enhance platform capabilities.

Qualifications and Requirements

• Master’s or PhD in Computational Biology, Bioinformatics, Data Science, or related field.
• 4+ years in data science or operations in US pharma/biotech, with expertise in clinical research (e.g., trials, RWE).
• Deep knowledge of computational biology (e.g., genomics, RDKit/AlphaFold for drug-protein interactions).
• Proficiency in Python, SQL, ETL tools (e.g., Airflow), and big data frameworks (e.g., Spark).
• Familiarity with US pharma regulations (HIPAA, FDA) and clinical trial processes (Phase 1-3).
• Experience with AI/ML for health data (e.g., scikit-learn, PyTorch).
• Based in India; open to remote or hybrid work in Pune.
• Strong leadership and communication skills for global client collaboration.

Preferred Skills

• Experience with cloud platforms (e.g., AWS, Azure) for secure data processing.
• Knowledge of SaaS platforms and API integrations for client data.
• Background in oncology or precision medicine (e.g., breast cancer outcome predictions).
• Expertise in mitigating data biases for fair AI predictions.

What We Offer

• Highly Competitive salary based on experience with performance bonuses.
• Flexible remote/hybrid work, health benefits, and learning opportunities.
• Leadership role in cutting-edge US pharma AI innovation with travel opportunities in the US
• Collaborative, global team environment.

About the Job

As a Lead AI/ML Engineer, you spearhead the design, development, and implementation of advanced AI and machine learning models. Your role involves guiding a team of engineers ensuring the successful deployment of projects that leverage AI/ML technologies to solve complex problems. You collaborate closely with stakeholders to understand business needs, translate them into technical requirements, and drive innovation. Your responsibilities include optimizing model performance, conducting rigorous testing, and maintaining up-to-date knowledge of the latest industry trends. Additionally, you mentor team members, promote best practices, and contribute to strategic decision-making within the organization.

Core Responsibilities

• Client Interaction: Discuss client requirements and develop proposals tailored to their needs.
• Demonstrations and Workshops: Conduct solution/product demonstrations, POC/Proof of Technology workshops, and prepare effort estimates in line with customer budgets and organizational financial guidelines.
• Model Oversight: Oversee the development and deployment of AI models, especially those generating content such as text, images, or other media.
• AI Solutions: Engage in coding, designing, developing, implementing, and deploying advanced AI solutions.
• Expertise Utilization: Utilize your expertise in NLP, Python programming, LLMs, Deep Learning, and AI principles to drive the development of transformative technologies.
• Leadership and Initiative: Actively lead projects and contribute to both unit-level and organizational initiatives to provide high-quality, value-adding solutions to customers.
• Strategic Development: Develop value-creating strategies and models to help clients innovate, drive growth, and increase profitability.
• Technology Awareness: Stay informed about the latest technologies and industry trends.
• Problem-Solving and Collaboration: Employ logical thinking and problem-solving skills, and collaborate effectively.
• Client Interfacing: Demonstrate strong client interfacing skills.
• Project and Team Management: Manage projects and teams efficiently.

Required Skills

• Skills: Hands-on expertise in NLP, Computer Vision, programming, and related concepts.
• Leadership: Capable of leading and mentoring a team of AI engineers and researchers, setting strategies for AI model development and deployment, and ensuring these align with business goals.
• Technical Proficiency: Proficient in implementing and optimizing advanced AI solutions using Deep Learning and NLP, with tools such as TensorFlow, PyTorch, Spark, and Keras.
• LLM Experience: Experience with Large language Models like GPT 3.5, GPT 4, Llama, Gemini, Mistral, etc. along with experience in LLM integration frameworks like LangChain, Llamaindex, AgentGPT, etc.
• Deep Learning OCR: Extensive experience implementing solutions using Deep Learning OCR algorithms.
• Neural Networks: Working knowledge of Artificial Neural Networks (ANNs), Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Generative Adversarial Networks (GANs).
• Python Expertise: Strong coding skills in Python, including related frameworks, best practices, and design patterns.
• Preferred Knowledge: Familiarity with word embeddings, transformer models, and image/text generation and processing.
• Deployment: Experience deploying AI/ML solutions as a service or REST API endpoints on Cloud or Kubernetes.
• Development Methodologies: Proficient in development methodologies and writing unit tests in Python.
• Cloud: Knowledge of cloud computing platforms and services, such as AWS, Azure, or Google Cloud.
• Experience with information security and secure development best practices.

Qualifications

• Bachelor's or higher degree in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related field.
• 8+ years in IT with a focus on AI/ML practices and background.