Research Scientist - Machine Learning/Artificial Intelligence

We’re searching for an experienced Data Scientist with a strong background in NLP and large language models to join our innovative team! If you thrive on solving complex language problems and are hands-on with spaCy, NER, RNN, LSTM, Transformers, and LLMs (like GPT), we want to connect.

What You’ll Do:

• Build & deploy advanced NLP solutions: entity recognition, text classification, and more.
• Fine-tune and train state-of-the-art deep learning models (RNN, LSTM, Transformer, GPT).
• Apply libraries like spaCy for NER and text processing.
• Collaborate across teams to integrate AI-driven features.
• Preprocess, annotate, and manage data workflows.
• Analyze model performance and drive continuous improvement.
• Stay current with AI/NLP breakthroughs and advocate innovation.

What You Bring:

• 4-5+ years of industry experience in data science/NLP.
• Strong proficiency in Python, spaCy, NLTK, PyTorch or TensorFlow.
• Hands-on with NER, custom pipelines, and prompt engineering.
• Deep understanding and experience with RNN, LSTM, Transformer, and LLMs/GPT.
• Collaborative and independent problem solver.

Nice to Have:

• Experience deploying NLP models (Docker, cloud).
• MLOps, vector databases, RAG, semantic search.
• Annotation tools and team management.

Why Join Us?

• Work with cutting-edge technology and real-world impact.
• Flexible hours, remote options, and a supportive, inclusive culture.
• Competitive compensation and benefits.

Ready to push the boundaries of AI with us? Apply now or DM for more info!

Position Overview

• Drive cloud financial management (FinOps) lifecycle at Deltek.
• Optimize cloud spend, forecasting, and financial performance.
• Collaborate across teams to deliver actionable financial insights.

Key Responsibilities

• Deliver monthly cloud spend reports and forecasts to stakeholders.
• Manage cloud financial tools and consumption platforms.
• Apply financial principles for contract optimization and spend control.
• Present technical and financial insights in a clear, actionable format.
• Partner with engineering/product teams to identify cost drivers and savings.
• Lead optimization efforts (e.g., savings plans, reserved instances, right-sizing).
• Ensure tagging strategies and alerting frameworks are scalable.
• Support forecasting through demand planning and capacity management.
• Build financial models and forecasting tools for cloud spend.
• Automate FinOps workflows using Python, SQL, and cloud-native services.
• Develop AI-powered cost optimization tools using GenAI APIs.
• Create data pipelines for real-time cost visibility and alerting.
• Onboard stakeholders to FinOps tools and practices.
• Maintain KPIs, dashboards, and scorecards for spend tracking.
• Promote cost-conscious architecture and automation-driven optimization.
• Analyze usage patterns and provide technical cost-saving recommendations.
• Build self-service FinOps portals and GenAI chatbots for cost insights.
• Use GenAI to enhance automation, reporting, and productivity.

Qualifications

• Bachelor’s in finance, CS, IS, or related field.
• 4+ years in Cloud FinOps or IT Financial Management.
• 6–8 years in Cloud Infra, DevOps, or Software Development.
• Experience with AWS, Azure, OCI cost tools and FinOps platforms.
• Proven FinOps experience in enterprise environments.
• Skilled in building reports, dashboards, and financial insights.
• Strong grasp of cloud pricing, billing, and optimisation strategies.
• Experience with tagging, anomaly detection, and lifecycle policies.
• Proficient in Python, SQL, and automation for FinOps.
• Hands-on with GenAI APIs and prompt engineering.
• Experience with IaC (Terraform) and CI/CD pipelines.
• Familiarity with Power BI and data visualisation libraries.
• Knowledge of ML/AI frameworks and chatbot development is a plus.
• FinOps Certified Practitioner; cloud certifications preferred.

Location: Hybrid/ Remote

Type: Contract / Full‑Time

Experience: 5+ Years

Qualification: Bachelor’s or Master’s in Computer Science or a related technical field

Responsibilities:

• Architect & implement the RAG pipeline: embeddings ingestion, vector search (MongoDB Atlas or similar), and context-aware chat generation.
• Design and build Python‑based services (FastAPI) for generating and updating embeddings.
• Host and apply LoRA/QLoRA adapters for per‑user fine‑tuning.
• Automate data pipelines to ingest daily user logs, chunk text, and upsert embeddings into the vector store.
• Develop Node.js/Express APIs that orchestrate embedding, retrieval, and LLM inference for real‑time chat.
• Manage vector index lifecycle and similarity metrics (cosine/dot‑product).
• Deploy and optimize on AWS (Lambda, EC2, SageMaker), containerization (Docker), and monitoring for latency, costs, and error rates.
• Collaborate with frontend engineers to define API contracts and demo endpoints.
• Document architecture diagrams, API specifications, and runbooks for future team onboarding.

Required Skills

• Strong Python expertise (FastAPI, async programming).
• Proficiency with Node.js and Express for API development.
• Experience with vector databases (MongoDB Atlas Vector Search, Pinecone, Weaviate) and similarity search.
• Familiarity with OpenAI’s APIs (embeddings, chat completions).
• Hands‑on with parameters‑efficient fine‑tuning (LoRA, QLoRA, PEFT/Hugging Face).
• Knowledge of LLM hosting best practices on AWS (EC2, Lambda, SageMaker).

Containerization skills (Docker):

• Good understanding of RAG architectures, prompt design, and memory management.
• Strong Git workflow and collaborative development practices (GitHub, CI/CD).

Nice‑to‑Have:

• Experience with Llama family models or other open‑source LLMs.
• Familiarity with MongoDB Atlas free tier and cluster management.
• Background in data engineering for streaming or batch processing.
• Knowledge of monitoring & observability tools (Prometheus, Grafana, CloudWatch).
• Frontend skills in React to prototype demo UIs.

We are looking for a skilled and detail-oriented Data Analyst – Data Scientist (DA-DS) to join our team. This hybrid role involves analyzing large datasets to extract insights, build predictive models, and support data-driven decision-making. You’ll work closely with cross-functional teams to transform raw data into actionable insights using statistical techniques, data visualization, and machine learning tools.

Purpose of Job:
Responsible to lead a team of analysts to build and deploy predictive models to infuse core
business functions with deep analytical insights. The Senior Data Scientist will also work
closely with the Kinara management team to investigate strategically important business questions.

Job Responsibilities:

Lead a team through the entire analytical and machine learning model life cycle:
 Define the problem statement
 Build and clean datasets
 Exploratory data analysis
 Feature engineering
 Apply ML algorithms and assess the performance
 Code for deployment
 Code testing and troubleshooting
 Communicate Analysis to Stakeholders
 Manage Data Analysts and Data Scientists

Qualifications:
 Education: MS/MTech/Btech graduates or equivalent with a focus on data science and
quantitative fields (CS, Engineering, Mathematics, Economics)

 Work Experience: 5+ years in a professional role with 3+ years in ML/AI
Other Requirements: ⮚ Domain knowledge in Financial Services is a big plus

Skills & Competencies
Technical Skills
⮚ Aptitude in Math and Stats
⮚ Proven experience in the use of Python, SQL, DevOps
⮚ Excellent in programming (Python), stats tools, and SQL
⮚ Working knowledge of tools and utilities - AWS, Git, Selenium, Postman,Prefect, Airflow, PySpark

Soft Skills
⮚ Deep Curiosity and Humility
⮚ Strong communications verbal and written

Job Description: Product Manager for GenAI Applications on Data Products About the Company: We are a forward-thinking technology company specializing in creating innovative data products and AI applications. Our mission is to harness the power of data and AI to drive business growth and efficiency. We are seeking a dynamic and experienced Product Manager to join our team and lead the development of cutting-edge GenAI applications. Role Overview: As a Product Manager for GenAI Applications, you will be responsible for conceptualizing, developing, and managing AI-driven products that leverage our data platforms. You will work closely with cross-functional teams, including engineering, data science, marketing, and sales, to ensure the successful delivery of high-impact AI solutions. Your understanding of business user needs and ability to translate them into effective AI applications will be crucial. Key Responsibilities: - Lead the end-to-end product lifecycle from ideation to launch for GenAI applications. - Collaborate with engineering and data science teams to design, develop, and deploy AI solutions. - Conduct market research and gather user feedback to identify opportunities for new product features and improvements. - Develop detailed product requirements, roadmaps, and user stories to guide development efforts. - Work with business stakeholders to understand their needs and ensure the AI applications meet their requirements. - Drive the product vision and strategy, aligning it with company goals and market demands. - Monitor and analyze product performance, leveraging data to make informed decisions and optimizations. - Coordinate with marketing and sales teams to create go-to-market strategies and support product launches. - Foster a culture of innovation and continuous improvement within the product development team. Qualifications: - Bachelor's or Master's degree in Computer Science, Engineering, Business, or a related field. - 3-5 years of experience in product management, specifically in building AI applications. - Proven track record of developing and launching AI-driven products from scratch. - Experience working with data application layers and understanding data architecture. - Strong understanding of the psyche of business users and the ability to translate their needs into technical solutions. - Excellent project management skills, with the ability to prioritize tasks and manage multiple projects simultaneously. - Strong analytical and problem-solving skills, with a data-driven approach to decision making. - Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams. - Passion for AI and a deep understanding of the latest trends and technologies in the field. Benefits: - Competitive salary and benefits package. - Opportunity to work on cutting-edge AI technologies and products. - Collaborative and innovative work environment. - Professional development opportunities and career growth. If you are a passionate Product Manager with a strong background in AI and data products, and you are excited about building transformative AI applications, we would love to hear from you. Apply now to join our dynamic team and make an impact in the world of AI and data.

• Own the product analytics of bidgely’s end user-facing products, measure and identify areas of improvement through data
• Liaise with Product Managers and Business Leaders to understand the product issues, priorities and hence support them through relevant product analytics
• Own the automation of product analytics through good SQL knowledge
• Develop early warning metrics for production and highlight issues and breakdowns for resolution
• Resolve client escalations and concerns regarding key business metrics
• Define and own execution
• Own the Energy Efficiency program designs, dashboard development, and monitoring of existing Energy efficiency program
• Deliver data-backed analysis and statistically proven solutions
• Research and implement best practices
• Mentor team of analysts

• B.Tech from a premier institute with 5+ years analytics experience or Full-time MBA from a premier b-school with 3+ years of experience in analytics/business or product analytics
• Bachelor's degree in Business, Computer Science, Computer Information Systems, Engineering, Mathematics, or other business/analytical disciplines

• Proven analytical and quantitative skills and an ability to use data and metrics to back up assumptions, develop business cases, and complete root cause
  analyses
• Excellent understanding of retention, churn, and acquisition of user base
• Ability to employ statistics and anomaly detection techniques for data-driven
  analytics
• Ability to put yourself in the shoes of the end customer and understand what
  “product excellence” means
• Ability to rethink existing products and use analytics to identify new features and product improvements.
• Ability to rethink existing processes and design new processes for more effective analyses
• Strong SQL knowledge, working experience with Looker and Tableau a great plus
• Strong commitment to quality visible in the thoroughness of analysis and techniques employed
• Strong project management and leadership skills
• Excellent communication (oral and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams
• Ability to coach and mentor analysts on technical and analytical skills
• Good knowledge of statistics, basic machine learning, and AB Testing is
  preferable
• Experience as a Growth hacker and/or in Product analytics is a big plus

1. Minimum 2.5 years of experience as a Python Developer.
2. Minimum 2.5 years of experience in any framework like Django/Flask/Fast API
3. Minimum 2.5 years of experience in SQL/ Postgress
4. Minimum 2.5 years of experience in Git/Gitlab/Bit-Bucket
5. Minimum 2+ years of experience in deployment (CICD with Jenkins)
6. Minimum 2.5 years of experience in any cloud like AWS/GCP/Azure