11+ Project scheduling Jobs in Mumbai | Project scheduling Job openings in Mumbai

• Project Management.
• Responsible for the delivery of a set of projects/ operations for a single large account or multiple accounts.
• Takes ownership of logistics and resource needs during start-up and growth of an account.
• Defines and implements transition strategy when taking over from other suppliers.
• Leads account steering committee meetings.
• Leads task forces to complete SBU-level initiatives.
• Leads account growth and sustenance through pre-sales support and constant engagement with customers in collaboration with other service lines.
• Creates teaming agreements/ sub - contracts to forge alliances/ partnerships for account growth/ sustenance.
• Conducts structured review of projects and audits projects (for process compliance) and fixes the gaps with corrective actions.
• Benchmarks against industry best practices and drives/manage change within the delivery structure, processes/ operations accordingly.
• Drives innovations to improve customer service at the account level.

Requirements

• Looking for Strong Experience in Enterprise Learning and Corporate Learning Projects 
• Strong Experience in End to End Project Management Lifecycle 
• Excellent Project Management Skills - Project Estimations, Project Metrics, Meeting Deadlines, Project Reporting 
• Strong in Project Planning,Project Monitoring and Followup, Project Proposals and Client Follow-Ups,

Review Criteria

• Strong Senior Data Scientist (AI/ML/GenAI) Profile
• 5+ years of experience in designing, developing, and deploying Machine Learning / Deep Learning (ML/DL) systems in production
• Must have strong hands-on experience in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
• 1+ years of experience in fine-tuning Large Language Models (LLMs) using techniques like LoRA/QLoRA, and building RAG (Retrieval-Augmented Generation) pipelines.
• Must have experience with MLOps and production-grade systems including Docker, Kubernetes, Spark, model registries, and CI/CD workflows

Preferred

• Prior experience in open-source GenAI contributions, applied LLM/GenAI research, or large-scale production AI systems
• Preferred (Education) – B.S./M.S./Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.

Job Specific Criteria

• CV Attachment is mandatory
• Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
• Are you okay with 3 Days WFO?
• Virtual Interview requires video to be on, are you okay with it?

Role & Responsibilities

Company is hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems — including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications.

Responsibilities:

• Own the full ML lifecycle: model design, training, evaluation, deployment
• Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection
• Fine-tune LLMs and implement retrieval-augmented generation (RAG) pipelines
• Build agentic workflows for reasoning, planning, and decision-making
• Develop both real-time and batch inference systems using Docker, Kubernetes, and Spark
• Leverage state-of-the-art architectures: transformers, diffusion models, RLHF, and multimodal pipelines
• Collaborate with product and engineering teams to integrate AI models into business applications
• Mentor junior team members and promote MLOps, scalable architecture, and responsible AI best practices

Ideal Candidate

• 5+ years of experience in designing, deploying, and scaling ML/DL systems in production
• Proficient in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX
• Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines
• Familiarity with agent-based development (e.g., ReAct agents, function-calling, orchestration)
• Solid understanding of MLOps: Docker, Kubernetes, Spark, model registries, and deployment workflows
• Strong software engineering background with experience in testing, version control, and APIs
• Proven ability to balance innovation with scalable deployment
• B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field
• Bonus: Open-source contributions, GenAI research, or applied systems at scale

A Product Manager with hands-on experience in risk management

within capital markets or brokerage environments.

● Experience working with risk engines or brokerage RMS/OEMS systems.

● Exposure to market surveillance, margining systems, or credit risk control platforms.

● Understanding of SEBI regulatory frameworks.

● Risk Domain Experience: 2-5 years of experience in capital markets or brokerage

risk management (e.g., RMS/OEMS platforms, risk surveillance, exposure

monitoring, or trading controls).

● Product Management Experience: Proven success in managing complex product

roadmaps, ideally in B2B or FinTech environments.

● Regulatory Familiarity: Strong understanding of capital market regulatory

requirements and their impact on risk systems.

● Tech Fluency: Able to comfortably engage with developers on system architecture,

APIs, data flows, and platform dependencies.

● Strong Communicator: Excellent written and verbal communication skills to

effectively manage stakeholders and articulate product trade-offs.

● Analytical Thinker: Strong problem-solving skills with the ability to simplify complex

use cases into structured, actionable requirements.

● Self-Driven: Highly motivated, disciplined, and accountable—able to thrive in

fast-paced, high-impact environments.

Experience in Core Java and Spring Boot.

 • Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns. 

• Should have the ability to analyze, design, develop and test complex, low-latency clientfacing applications. 

• Good development experience with RDBMS.

 • Good knowledge of multi-threading and high-performance server-side development. • Basic working knowledge of Unix/Linux. 

• Excellent problem solving and coding skills. 

• Strong interpersonal, communication and analytical skills. 

• Should have the ability to express their design ideas and thoughts

Lifespark is looking for individuals with a passion for impacting real lives through technology. Lifespark is one of the most promising startups in the Assistive Tech space in India, and has been honoured with several National and International awards. Our mission is to create seamless, persistent and affordable healthcare solutions. If you are someone who is driven to make a real impact in this world, we are your people.

Lifespark is currently building solutions for Parkinson’s Disease, and we are looking for a ML lead to join our growing team. You will be working directly with the founders on high impact problems in the Neurology domain. You will be solving some of the most fundamental and exciting challenges in the industry and will have the ability to see your insights turned into real products every day

Essential experience and requirements:

1. Advanced knowledge in the domains of computer vision, deep learning

2. Solid understand of Statistical / Computational concepts like Hypothesis Testing, Statistical Inference, Design of Experiments and production level ML system design

3. Experienced with proper project workflow

4. Good at collating multiple datasets (potentially from different sources)

5. Good understanding of setting up production level data pipelines

6. Ability to independently develop and deploy ML systems to various platforms (local and cloud)

7. Fundamentally strong with time-series data analysis, cleaning, featurization and visualisation

8. Fundamental understanding of model and system explainability

9. Proactive at constantly unlearning and relearning

10. Documentation ninja - can understand others documentation as well as create good documentation

Responsibilities :

1. Develop and deploy ML based systems built upon healthcare data in the Neurological domain

2. Maintain deployed systems and upgrade them through online learning

3. Develop and deploy advanced online data pipelines

Key responsibility:

• Seasoned Bonita Developer/Architect.
• Experience implementing BonitaSoft as the business process management tool for the client.
• Strong UI knowledge in Angular JS, Jquery
• Strong knowledge of BPMN 2.0 concepts
• Hands on experience using Bonita’s different platforms components such as:

1.              Bonita Studio
                Bonita BPM Engine
                Bonita Portal
                Bonita UI Designer

Horizzon is looking for Sr. PHP Developer having 4-5 years of experience. The Individual should be passionate about technology, experienced in developing and managing cutting edge technology applications.

Horizzon is a leader in eLearning Technology space and has been delivering innovative solutions for last 10 years. For more details, please visit https://www.horizzon.com

Requirement

• 3-6 years of hands on experience in PHP & MySQL
• Expertise in MVC Frameworks (Yii 2.0 OR Laravel)
• Good knowledge of JQuery, JavaScript, AJAX, HTML5, CSS3
• Expertise in REST APIs & JWT tokens
• Proficient understanding of version control repository tools, such as BitBucket or Github
• Experience using AWS Cloud, especially AWS S3 and Cloudfront.