D365 Technical Lead

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.

Interested Candidates can apply on below link : https://idreamcareer.keka.com/careers/jobdetails/79881

We are looking for a dynamic and driven Sales & Operations Manager to lead both pre- and post-sales processes for our Counselling as a Service (CaaS) business line. This role is pivotal in ensuring seamless coordination between clients, internal teams, and our career counselors' community. You will act as the bridge between sales execution, operational delivery, and client success.

Key Responsibilities

🔹 CaaS Sales (Pre-Sales & Closures):

• Drive end-to-end sales cycles – from client engagement, need identification, proposal creation to closure

• Collaborate with the Business Development team to convert qualified leads into long-term partnerships

• Understand client objectives and map offerings to deliver tailored career guidance solutions

🔹 CaaS Post-Sales Operations:

• Lead client onboarding and post-sales documentation

• Coordinate deployment of career guidance product for individual counsellors

• Monitor program delivery, timelines, and quality of service

🔹 Tech & Cross-functional Liaison:

• Coordinate with the tech team for deployment, issue resolution, and feature feedback

• Act as the SPOC between client expectations and internal teams (content, tech, counselor engagement)

🔹 Counselor Engagement:

• Work closely with the Community Manager to onboard, brief, and align counselors for specific client engagements

• Track counselor performance, share feedback loops, and build a culture of responsiveness.

What We’re Looking For

• 2-4 years of experience in B2B/B2C Sales and Operations roles, preferably in edtech or services industries

• Strong project management and multi-stakeholder coordination skills

• Excellent communication and presentation skills

• Ability to work in a fast-paced, outcome-oriented environment

• Experience with CRM tools, Excel/Sheets, and basic tech ticketing systems

Nice to Have

• Exposure to career guidance, education, or school/college ecosystem

• Prior experience managing freelance/contractual teams or communities

Why Join Us?

At iDreamCareer, you’ll be part of a mission to democratize career guidance for millions. This role gives you an opportunity to shape the future of career decisions by blending data, technology, and human empathy.

Experience: 2-3 years of experience in video editing, preferably within fintech, tech, or digital marketing.

Technical Skills: Proficiency in Adobe Premiere Pro, After Effects, Final Cut Pro, and other relevant editing software.

Portfolio: A portfolio demonstrating a range of video editing work, showcasing strong storytelling and visual design.

Creativity & Attention to Detail: Strong sense of timing, pacing, and ability to convey messages effectively through visuals.

Collaboration & Communication: Excellent team-working skills to liaise with cross-functional teams and incorporate feedback.

DATA SCIENTIST-MACHINE LEARNING                           

GormalOne LLP. Mumbai IN

Job Description

GormalOne is a social impact Agri tech enterprise focused on farmer-centric projects. Our vision is to make farming highly profitable for the smallest farmer, thereby ensuring India's “Nutrition security”. Our mission is driven by the use of advanced technology. Our technology will be highly user-friendly, for the majority of farmers, who are digitally naive. We are looking for people, who are keen to use their skills to transform farmers' lives. You will join a highly energized and competent team that is working on advanced global technologies such as OCR, facial recognition, and AI-led disease prediction amongst others.

GormalOne is looking for a machine learning engineer to join. This collaborative yet dynamic, role is suited for candidates who enjoy the challenge of building, testing, and deploying end-to-end ML pipelines and incorporating ML Ops best practices across different technology stacks supporting a variety of use cases. We seek candidates who are curious not only about furthering their own knowledge of ML Ops best practices through hands-on experience but can simultaneously help uplift the knowledge of their colleagues.

Location: Bangalore

Roles & Responsibilities

• Individual contributor
• Developing and maintaining an end-to-end data science project
• Deploying scalable applications on different platform
• Ability to analyze and enhance the efficiency of existing products

What are we looking for?

• 3 to 5 Years of experience as a Data Scientist
• Skilled in Data Analysis, EDA, Model Building, and Analysis.
• Basic coding skills in Python
• Decent knowledge of Statistics
• Creating pipelines for ETL and ML models.
• Experience in the operationalization of ML models
• Good exposure to Deep Learning, ANN, DNN, CNN, RNN, and LSTM.
• Hands-on experience in Keras, PyTorch or Tensorflow

Basic Qualifications

• Tech/BE in Computer Science or Information Technology
• Certification in AI, ML, or Data Science is preferred.
• Master/Ph.D. in a relevant field is preferred.

Preferred Requirements

• Exp in tools and packages like Tensorflow, MLFlow, Airflow
• Exp in object detection techniques like YOLO
• Exposure to cloud technologies
• Operationalization of ML models
• Good understanding and exposure to MLOps

Kindly note: Salary shall be commensurate with qualifications and experience

Looking For Java Backend Developer

Greetings from Skilltasy !!!!

Urgent Requirement…

Job Role – Java Backend Developer

Experience – 6+ year 

Work location –Bangalore/ Hyderabad

Notice Period – Immediate to 30 days

Skills -

· Develop enterprise-level applications and features using above mentioned technologies and tools.

· Collaborate with other developers, designers, and stakeholders to deliver highly functional features.

· Deliver on development requests while also setting accurate expectations, adhering to best practices, and creating modular and testable code.

· Adhere to an Agile methodology.

· Consider the user journey to create an intuitive user experience…

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We have an urgent requirement of an Automation Tester who has at least 2 years of experience in Automation Testing.
Immediate Joiner will be preffered or the maximum notice period -15 days.

Job Requirements:

1. Maintaining a suite of automated tests for Web and Mobile applications
2. Maintaining automation framework and implementing improvements
3. Conversion of the manual test suite to automation
4. Create and maintain test cases.
5. Maintain and update regression testing scripts to close test escapes.
6. Perform exploratory testing, integration testing, regression testing, automated testing.
7. Execution and triage of automated test executions.
8. Defect management in Jira.
9. Maintenance on Jenkins integration.
10. Exposure to Test and Defect Management Tools like JIRA, Test rail, Zephyr etc.

Skills required

• Writing reliable and maintainable automated tests.
• Demonstrable experience in Automation testing using Selenium or similar
• Experience with Serenity BDD test framework, (Cucumber, Selenium, Rest Assured)
• Programming skills with either Java / JavaScript / Python or similar
• Unit testing frameworks such as TestNG, JUnit and/or N Unit
• Testing API’s with SoapUI / Postman or similar
• Performance Testing with J meter, Neo Load or similar
• Familiarity with Swagger or Open API Specifications.
• Familiarity with JSON objects, SQL queries, data structures, log file analysis
• Strong knowledge of Scripting Languages like Java, JavaScript, Python, Ruby, Groovy etc.

Programming Languages: Perl, Python, java. Perl programming with strong OOPs knowledge.

• UI: HTML, JS
• System: Linux must have – good knowledge and shell scripting experience.
• Prior experience in infrastructure automation, monitoring will definitely help.

Description:

The person in this role:

- Will be involved in developing new monitoring scripts, enhancement & defect fixes on existing monitors

- Have to be on-call to support any incoming production/P1 internal issues which need urgent attention (team members are on call for a week and we have a weekly rotation policy within the team)

Preferred skills:

Perl
- Shell scripting

- Unix

- Jenkins