Lead AI Engineer

Role: Data Scientist

Location: Bangalore (Remote)

Experience: 4 - 15 years

Skills Required - Radiology, visual images, text, classical model, LLM multi model, Primarily Generative AI, Prompt Engineering, Large Language Models, Speech & Text Domain AI, Python coding, AI Skills, Real world evidence, Healthcare domain

JOB DESCRIPTION

We are seeking an experienced Data Scientist with a proven track record in Machine Learning, Deep Learning, and a demonstrated focus on Large Language Models (LLMs) to join our cutting-edge Data Science team. You will play a pivotal role in developing and deploying innovative AI solutions that drive real-world impact to patients and healthcare providers.

Responsibilities

• LLM Development and Fine-tuning: fine-tune, customize, and adapt large language models (e.g., GPT, Llama2, Mistral, etc.) for specific business applications and NLP tasks such as text classification, named entity recognition, sentiment analysis, summarization, and question answering. Experience in other transformer-based NLP models such as BERT, etc. will be an added advantage.

• Data Engineering: collaborate with data engineers to develop efficient data pipelines, ensuring the quality and integrity of large-scale text datasets used for LLM training and fine-tuning

• Experimentation and Evaluation: develop rigorous experimentation frameworks to evaluate model performance, identify areas for improvement, and inform model selection. Experience in LLM testing frameworks such as TruLens will be an added advantage.

• Production Deployment: work closely with MLOps and Data Engineering teams to integrate models into scalable production systems.

• Predictive Model Design and Implementation: leverage machine learning/deep learning and LLM methods to design, build, and deploy predictive models in oncology (e.g., survival models)

• Cross-functional Collaboration: partner with product managers, domain experts, and stakeholders to understand business needs and drive the successful implementation of data science solutions

• Knowledge Sharing: mentor junior team members and stay up to date with the latest advancements in machine learning and LLMs

Qualifications Required

• Doctoral or master’s degree in computer science, Data Science, Artificial Intelligence, or related field

• 5+ years of hands-on experience in designing, implementing, and deploying machine learning and deep learning models

• 12+ months of in-depth experience working with LLMs. Proficiency in Python and NLP-focused libraries (e.g., spaCy, NLTK, Transformers, TensorFlow/PyTorch).

• Experience working with cloud-based platforms (AWS, GCP, Azure)

Additional Skills

• Excellent problem-solving and analytical abilities

• Strong communication skills, both written and verbal

• Ability to thrive in a collaborative and fast-paced environment

Location: Dwarka Mod, New Delhi

Working Days: Monday to Saturday

Role Overview

We are looking for a Talent Acquisition Specialist to lead our recruitment efforts and attract top talent for a fast-growing, technology-driven company. This is a hands-on, strategic role requiring experience in end-to-end recruitment, talent sourcing, onboarding, and HR coordination.

Key Responsibilities

● Manage end-to-end recruitment for technical and non-technical positions, including UAV pilots, GIS specialists, survey engineers, field staff, and corporate roles.

● Source candidates through multiple channels: job portals, social media, employee referrals, networking, and talent agencies.

● Partner with department heads to understand hiring needs, define job descriptions, and establish selection criteria.

● Screen, interview, and assess candidates for suitability, ensuring alignment with company culture and role requirements.

● Maintain HR records, applicant tracking, and recruitment dashboards

Qualifications & Skills

● Bachelor’s degree in Human Resources, Business Administration, or related field.

● Minimum 2–4 years of experience in recruitment, preferably in technology, engineering, or infrastructure sectors.

● Strong understanding of end-to-end recruitment lifecycle and talent sourcing strategies.

● Familiarity with ATS systems, job portals, LinkedIn Recruiter, and recruitment analytics.

● Excellent communication, interpersonal, and negotiation skills.

● Ability to work independently, prioritize, and manage multiple recruitment drives simultaneously. Preferred Attributes

● Prior experience recruiting for technical roles such as GIS specialists, survey engineers, UAV pilots, or project managers. 

Job Opportunity: Senior Financial Analyst

Company Overview:

Gallagher & Mohan is a distinguished firm specializing in delivering world-class financial analysis, marketing expertise, and accounting support tailored to the real estate sector. We serve an exclusive clientele of private equity investors, developers, fund managers, brokers, and other industry leaders. Renowned for our commitment to excellence, clear communication, and strong work ethic, we seamlessly integrate with our clients’ teams to create long-term value. Our portfolio spans diverse real estate transactions—from multifamily apartment communities to large-scale office towers across the United States and European markets, with deal sizes typically ranging from $25 million to over $500 million USD.

Role Overview:

As a Senior Financial Analyst at Gallagher & Mohan, you will play a pivotal role in driving insightful financial analysis and modeling. Utilizing your expertise in Microsoft Excel and adept modeling capabilities, you will craft comprehensive models from scratch and enhance existing client frameworks. Your responsibilities will extend to meticulous tracking and analysis of commercial real estate markets, preparing detailed reports on market trends and economic indicators, and serving as a trusted advisor with a profound understanding of macro and micro factors influencing the industry.

Roles & Responsibilities:

• Argus Enterprise Mastery: Utilize Argus Enterprise extensively to develop, maintain, and enhance comprehensive financial models for real estate assets. Ensure accuracy and efficiency in cash-flow projections and asset valuations.
• DCF Modeling: Construct and refine Discounted Cash Flow (DCF) models to evaluate investment opportunities, asset performance, and future cash flows. Provide in-depth analysis and interpretation of model outputs.
• Model Optimization: Optimize and update Argus models to reflect changing market conditions, investment strategies, and financial structures. Ensure models are aligned with current financial practices and industry standards.
• Market Analysis: Conduct detailed market research and analysis to support Argus , Multi family assets and DCF modeling, including assessing property comparables and evaluating market trends.
• Reporting & Insights: Prepare and present detailed financial reports and insights based on Argus and DCF analyses. Communicate findings and strategic recommendations to senior management and clients.
• Collaboration: Work closely with internal teams during acquisitions, dispositions, and development projects, providing specialized Argus and DCF analysis to support strategic decision-making.
• Performance Evaluation: Assess and report on the performance of investments using key performance indicators (KPIs) such as IRR and Cash-on-Cash returns, integrating these metrics into Argus and DCF models.

What We Are Looking For:

Requirements – Skills, Knowledge, and Abilities:

• Educational Background: Bachelor’s degree in Real Estate, Business, Economics, Finance, or a related field.
• Argus Expertise: Extensive experience with Argus Enterprise software, including developing and managing detailed financial models for real estate assets.
• DCF Proficiency: Strong proficiency in Discounted Cash Flow (DCF) modeling, with the ability to create and analyze complex financial models and scenarios.
• Experience: 4-7 years of experience in financial modeling with a focus on Argus and DCF methodologies and Multi family assets . Background in equity research, investment banking, or real estate finance is advantageous.
• Analytical Skills: Exceptional analytical and problem-solving skills, with a focus on deriving actionable insights from Argus and DCF analyses.
• Communication: Strong written and verbal communication skills, with the ability to present complex financial concepts and findings effectively to diverse stakeholders.
• Organization: Excellent organizational skills, with the ability to manage multiple tasks and priorities in a fast-paced environment.
• Team Collaboration: Proven ability to work effectively with cross-functional teams and contribute to a collaborative team environment.

Desired Qualifications:

• Software Proficiency: Advanced skills in Microsoft Office Suite, especially Excel, for financial modeling and analysis.
• Advanced Degree: Master’s degree in finance, Business, Real Estate, or Economics is preferred.
• Certifications: Candidates who have completed or are working towards CFA, CA, or FRM certifications will be considered favorably.
• Additional Software Knowledge: Familiarity with other real estate software/programs, such as Yardi Voyager and Google Earth, will be a plus.

Job Details:

• Title: Senior Financial Analyst
• Department: Financial Analysis
• Employment Type: Full-Time, Permanent
• Location: Remote (New Delhi)
• Shift Timings: EST/PST (US Time Zone)

Note: Immediate availability is required (within a week).

Join Gallagher & Mohan, where your leadership abilities and financial expertise will play a crucial role in shaping the success of our team and driving impactful insights in the real estate industry. Apply now to embark on a rewarding career journey with a leading industry player.

Job Description:

1.Min. exp 6 year with design tools like Figma, XD, Photoshop.

2. Passion and enthusiasm for design, with a creative flair.

3. Experience in Wireframing/Flowcharts.

4. Being open to feedback and willing to make changes to your designs.

5.Candidates must have outstanding written and oral communication skills.

6.Should be self-motivated and creative thinking with logical abilities

Digital marketing executive job duties include:

• Prepare social media marketing strategy and campaign by coming up with content

ideas, planning the budget, and implementing it.

• Utilize various social media channels to promote the company’s products and

services.

• Increase the visibility of the company’s social content by optimizing individual

company pages on social media platforms.

• Utilize the digital marketing aspects of the social media marketing roadmap to

increase website traffic, audience engagement, and revenue.

• To achieve certain goals, you must generate leads, qualify leads, develop

marketing communications, build your brand image, and convert sales leads.

• Taking steps to improve campaigns and other marketing efforts by monitoring

their performance and evaluating their effectiveness.

Requirements for Digital marketing executive

• A graduate degree in marketing or a related field is required.

• 1-3 Years of experience in digital marketing.

• Efforts to lead and manage SEO/SEM, marketing databases, email campaigns,

social media campaigns, and display advertising campaigns.

• 3+ years of industry experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka, ELK Stack, Fluentd and streaming databases like druid
• Strong industry expertise with containerization technologies including kubernetes, docker-compose
• 2+ years of industry in experience in developing scalable data ingestion processes and ETLs
• Experience with cloud platform services such as AWS, Azure or GCP especially with EKS, Managed Kafka
• Experience with scripting languages. Python experience highly desirable.
• 2+ Industry experience in python
• Experience with popular modern web frameworks such as Spring boot, Play framework, or Django
• Demonstrated expertise of building cloud native applications
• Experience in administering (including setting up, managing, monitoring) data processing pipelines (both streaming and batch) using frameworks such as Kafka, ELK Stack, Fluentd
• Experience in API development using Swagger
• Strong expertise with containerization technologies including kubernetes, docker-compose
• Experience with cloud platform services such as AWS, Azure or GCP.
• Implementing automated testing platforms and unit tests
• Proficient understanding of code versioning tools, such as Git
• Familiarity with continuous integration, Jenkins

• Design and Implement Large scale data processing pipelines using Kafka, Fluentd and Druid
• Assist in dev ops operations
• Develop data ingestion processes and ETLs
• Design and Implement APIs
• Assist in dev ops operations
• Identify performance bottlenecks and bugs, and devise solutions to these problems
• Help maintain code quality, organization, and documentation
• Communicate with stakeholders regarding various aspects of solution.
• Mentor team members on best practices